Best Best AI Agent Skills for Database Engineers

A guide for designing tables in PostgreSQL to optimize for normalization, data types, indexing, and performance.

Transform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.

Master database schema and data migrations across ORMs (Sequelize, TypeORM, Prisma), including rollback strategies and zero-downtime deployments.

.NET Backend Development Patterns for production-grade APIs, MCP servers, and enterprise backends using C#/.NET.

Full-stack Nuxt framework with database, KV, blob, and cache. Multi-cloud support (Cloudflare, Vercel, Deno, Netlify).

Handles complex content management tasks with features such as access control, versioning, and custom APIs. By installing it, developers streamline the creation and management of dynamic applications with reduced coding effort and enhanced functionality.

Provides a comprehensive guideline for implementing security and performance best practices in Supabase applications. By following these rules, developers can ensure more secure coding practices that reduce vulnerabilities and enhance application stability.

Manages serverless PostgreSQL connections for applications on Neon and Vercel. By installing this skill, developers streamline database interaction and effectively prevent common issues like connection exhaustion and SQL injection.

Provides best practices for writing SQL queries and designing database schemas in PostgreSQL projects. By installing it, developers can enhance database performance and ensure optimal query execution through established patterns and techniques.

Facilitates access to genetic variant data from ClinVar for research and clinical interpretation. By employing this skill, users can effectively analyze genomic variations, saving time and enhancing the accuracy of genetic assessments.

Handles comprehensive search and retrieval of purchasable chemical compounds from the ZINC database. Facilitates efficient drug discovery and virtual screening by providing quick access to molecular structures and related data through various search parameters.

Facilitates comprehensive searches and data retrieval related to small molecule metabolites in human biology. Researchers benefit from streamlined access to metabolite information, reducing time spent on manual searches and ensuring more accurate identification in metabolomics studies.

Optimizes database performance by analyzing slow queries and configuring appropriate indexing strategies. This skill allows developers to enhance application performance and reliability by effectively managing PostgreSQL databases.

LaminDB handles the task of managing and querying biological datasets efficiently. By automating data lineage tracking and providing standardized metadata, it enhances reproducibility and compliance with FAIR data principles.

Handles TypeScript-first object relational mapping in modern web applications, allowing developers to define and manage database schemas using familiar TypeScript syntax. By streamlining database interactions and enforcing compile-time type safety, it reduces runtime errors and enhances developer productivity in serverless environments.

Facilitates the design and structure of PostgreSQL schema to streamline database development. This skill enhances productivity by automating schema generation, reducing errors, and improving overall database organization.